According to studies and research from PwC Global, artificial intelligence could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. To reach that level, organizations will have to rely on the skills and expertise of machine learning engineers and AI architects.
The position of AI architect requires individuals with impeccable technical and engineering backgrounds, as well as the innate ability to see the big, overarching picture of a world supported by AI. Incorporating AI into the everyday lives of people, including their personal, career, and business activities, requires an individual with vision and the wherewithal to implement it successfully.
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In many ways, the AI architect acts as the facilitator and manager of the AI project by establishing a developmental framework and driving the development toward specific goals. This level of guidance requires excellent communication skills supported by technical expertise. The successful AI architect must be able to communicate at both the visionary level and the coding level. Those skillsets generally require substantial experience.
While the demand for AI architects and other machine learning engineers and data scientists will continue to grow over the next 20 years, the available labor pool is likely to remain relatively limited. Recruiters and hiring personnel can expect the competition for skilled individuals in these fields to be brisk and unforgiving.
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